RuntimeError: Error(s) in loading state_dict for Tacotron:

size mismatch for encoder_proj.weight: copying a param with shape torch.Size([128, 512]) from checkpoint, the shape in current model is torch.Size([128, 1024]).
size mismatch for decoder.attn_rnn.weight_ih: copying a param with shape torch.Size([384, 768]) from checkpoint, the shape in current model is torch.Size([384, 1280]).
size mismatch for decoder.rnn_input.weight: copying a param with shape torch.Size([1024, 640]) from checkpoint, the shape in current model is torch.Size([1024, 1152]).
size mismatch for decoder.stop_proj.weight: copying a param with shape torch.Size([1, 1536]) from checkpoint, the shape in current model is torch.Size([1, 2048]).

Start by reproducing the checkpoint-loading failure and compare the saved Tacotron parameter shapes with the current model configuration. Trace the encoder and decoder definitions to identify why the checkpoint and model dimensions differ; done means the reported checkpoint loads without size-mismatch errors.

Written by the indexing model from the issue text.